AWS RE:INVENT RECAP:

WHAT HAPPENED, WHAT IT MEANS

Panelists

• Michael Crandell

• CEO, RightScale

• Josh Fraser,

• Senior Vice President Sales & BD, RightScale

• Brian Adler

• Director Enterprise Architecture, RightScale

• Kim Weins (Moderator)

• VP Marketing, RightScale

Universal Cloud Management Platform

Self-Service Cloud Analytics

RightScale Cloud Management Platform

Cloud Management

Multi-Cloud Orchestration

2

Governance

Public

Clouds

Private

Clouds

Virtual

Servers

Bare Metal

Servers

• Show Overview

• The Announcements

• Deep Dives

• Pricing Recap

• Hot Topics

• Your To Do List

Discussion Topics

3

POLLS

• Attendees: 32,000*

• Livestream: 50,000

• Sessions: 400+

• Business: $13B run rate, growing at 55% YoY

• New Services/Features announced: 29

AWS re:Invent By the Numbers

• C5s, I3s, R4s, new T2 sizes

• Elastic GPUs – add on GPU to any instance

• Aurora for PostgreSQL

• AWS Personal Health Dashboard –tailored AWS

health

• Lightsail– easy VPS

Improving the Core Logical Extensions

• AWS OpsWorks for Chef Automate – managed

Chef

• Athena – SQL to S3

• AWS Batch – batch services

• Glue – ETL

• EC2 Systems Manager – patch/configure

• CodeBuild – build/test code

• X-Ray – trace requests

• Pinpoint – mobile push targeting

• Shield – DDoS protection

Announcements-at-a-Glance: The Expected

• C# on Lambda

• Lambda@Edge – edge devices

• Greengrass – IoT devices

• Step Functions – workflow

• Snowball Edge – Snowball +

compute

Serverless Other Stuff

• AI

• Lex – Alexa-aaS

• Polly – text to speech

• Rekognition – image recognition

• Containers

• Blox – open source schedulers

• Special case

• F1s – FPGA

• Snowmobile – Truckload o’ data

• VMware on AWS Cloud

Announcements-at-a-Glance: Bleeding Edge

• Serverless

• Lambda everywhere

• Lots of new Compute options

• But no custom instances

• Yes, of course, we’ll take your data

• Bring more data

• More services, more complexity

• AWS wants you, and they want to lock you in

Key Themes from AWS Announcement

• AWS is leading the way, defining the new normal … and that’s

a good thing

• Others will follow, providing increasingly competitive offerings

• Azure now always in the mix

• Google breaking away from the remainder of the pack

• The public cloud market is bigger than AWS … “multi-cloud

happens”

What it Means for Other Cloud Providers

• The re:Invent FAQ

• How will you keep up with the pace of innovation?

• When will you support AWS’ new feature ____?

• RightScale Then

• Core, tightly integrated, building blocks

• ROI – provision your application

• RightScale Now

• Extensible platform with comprehensive governance framework

• ROI – just connect your cloud(s)

What it Means for RightScale

PlugIns: Connect RightScale to Cloud Services

13

Compute Storage Network Database

Built-In Integration Cloud Service Plug-Ins

AWS

Lambda

AWS

Batch

Google

Container

Engine

Azure

PaaS and more…

Created by

• RightScale

• Customer

• 3rd party

Governance

R3.large R4.large

vCPU 2 2

Processor Intel Xeon E5-2670

v2 (Ivy Bridge)

Intel Xeon E5-2686 v4

(Broadwell)

Memory 15.25 15.25

Disk 1x32 SSD EBS only

Cost/hr $.166 $.133

Cost/GiB RAM/hr $.0109 $.0087

Deep Dive: R4 Instances

20%

less

• FPGA access

• 1 to 8 FPGAs

• Each has approx. 2.5 million logic elements.

• Dedicated to instance, isolated in multi-tenant environment

• FPGA AMI with Dev Tools is available

• Speeds up many types of genomics, seismic analysis, financial risk analysis,

big data search, and encryption algorithms by up to 30 times

• Intel Broadwell E5 2686 v4 processors

• 2.3 GHz base speed, 2.7 GHz Turbo mode on all cores, and 3.0 GHz Turbo

mode on one core

• Up to 976 GiB of memory

• Up to 4 TB of NVMe SSD storage

Deep Dive: F1 Instances (Developer Preview)

Deep Dive: Other New Instances (Soon)

• C5 – CPU intensive

• Next generation of C3

• Xeon “Skylake” Processor

• Advanced floating point support for machine learning, multimedia, scientific, and financial

operations

• Six sizes up to 72 vCPU, 144 GiB of memory

• I3 – I/O intensive

• Next generation of I2

• Low latency SSDs

• 3.3 million random IOPS at a 4 KB block size and up to 16 GB/second of disk throughput

• I/O intensive relational & NoSQL databases, transactional, and analytics workloads including ERP

• All stored data will be encrypted at rest

• Six sizes up to to 64 vCPUs, 488 GiB of memory, and 15.2 TB of storage

• Previously only available with G2 or P2 instance types

• Will now be available as an “add on” option to multiple instance types

• Interaction similar to EBS volumes (create, then attach at boot or start)

• Sizing:

• Initially OpenGL support on Windows. Linux to follow

• May add support for DirectX and/or Vulkan libraries

Deep Dive: Elastic GPU

Source: AWS

• Lambda@Edge – serverless functionality at CloudFront

locations

• Greengrass – run Lambda functions on your IoT devices in

the field

• Snowball Edge – run Lambda functions against your data as it

is uploaded from a Snowball device to S3

Deep Dive: Serverless

• Step Functions – run Lambda functions

within a distributed application

• Native, fully managed VMware environment in AWS

datacenters (“VMware Cloud on AWS”)

• ESXi 6.5 on bare metal (no Xen/nested virtualization)

• Hourly, on-demand or subscription

• vSphere, vSAN, NSX all supported via same VMware tools

• VMware licenses, discounts, agreements, etc. all apply

• Low-latency connections to all AWS services in same region

Deep Dive: VMware on AWS

• Use Cases

• Extension of on-premises environment when capacity is exhausted

• Disaster Recovery

• Migration off/on via vMotion

• Billing for all services through VMware

• Support via VMware

• Pricing not yet announced

• AWS services (i.e. S3, EC2, etc.) will be billed via VMware

Deep Dive: VMware on AWS

• Most recent cuts:

• C4, M4, T2s: Reduced 5-10% in US-East, 20-25% in AP

• S3: reduced 16-28% depending on region

• New RIs

• Convertible RIs and Regional Benefit

• Rate of AWS price cuts has slowed

• They now emphasize features

• AWS price cuts are targeted by instances/regions/services

• AWS is not lowest cost – usually in middle between Azure and

Google

AWS Pricing Recap: Complexity Grows

Resource Type

(us-east, Linux)

AWS

Instance

Azure

Instance

Google

Instance

AWS

OD

Hourly

Azure

OD

Hourly

Google

OD

Hourly

AWS

/GB

RAM

Azure

/GB

RAM

Google

/GB

RAM

Standard 2 vCPU

w SSD m3.large D2 v2 n1-standard-2 $0.133 $0.114 $0.212 $0.017 $0.016 $0.028

Highmem 2 vCPU

w SSD r3.large D11 v2 n1-highmem-2 $0.166 $0.149 $0.238 $0.011 $0.011 $0.018

Highcpu 2 vCPU

w SSD c3.large F2 n1-highcpu-2 $0.105 $0.099 $0.188 $0.028 $0.025 $0.104

Standard 2 vCPU

no SSD m4.large D2 v2 n1-standard-2 $0.108 $0.114 $0.100 $0.014 $0.016 $0.013

Highmem 2 vCPU

no SSD r4.large D11 v2 n1-highmem-2 $0.133 $0.149 $0.126 $0.009 $0.011 $0.010

Highcpu 2 vCPU

no SSD c4.large F2 n1-highcpu-2 $0.105 $0.099 $0.076 $0.027 $0.025 $0.042

AWS vs. Azure vs. Google On-Demand

Prices

Source: RightScale As of Dec 2, 2016

Lowest Highest

• AWS + Azure (and Google)

• Security

• New directions: containers & orchestration, serverless

• Cost Management & Optimization

• Governance

Hot Topics – re:Invent Attendee Buzz

• New AWS features

• New instance types

• AWS Personal Health Dashboard

• Chef Automate (managed Chef)

• Athena – SQL to S3

• AWS Shield – if using ELB, Route

53 or Cloud Front

• AWS Batch – in Preview (US East)

Right Now Next 12 Months

• Your container strategy

• Where serverless makes sense

• VMware on AWS (maybe?)

Things to Consider

• AWS just got more complex:

• Instance sizes, pricing options, services

• Multi-cloud is a given

• Adoption has already occurred, costs rising fast

• Managing and governing all the above = priority #1

• RightScale addresses these problems

• Any cloud, any service, any server, any container

• Governance – from visibility to automated controls

• Immediate ROI just by connecting your clouds

Core Problems Remain the Same

• Want to learn more about the RightScale CMP?

• sales@rightscale.com

Q&A